code: def triu_indices(
      n_rows: int,
      n_cols: Optional[int] = None,
      k: int = 0,
      /,
      *,
      device: Optional[str] = None,
  ) -> Tuple[np.ndarray]:
      return tuple(np.asarray(np.triu_indices(n=n_rows, k=k, m=n_cols)))
  
imports: from numbers import Number
  from typing import Union, Optional, List, Sequence, Tuple
  import numpy
  import ivy
  from ivy.functional.ivy.creation import _asarray_to_native_arrays_and_back, _asarray_infer_device, _asarray_infer_dtype, _asarray_handle_nestable, NestedSequence, SupportsBufferProtocol, _asarray_inputs_to_native_shapes
  from .data_type import as_native_dtype
label_desc: Use image node_id 21 for calling a global function with example usage: triu_indices() and returns: tuple